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  • ROC curves also proved useful for the evaluation of machine learning techniques.
  • In machine learning, common RBF kernel can be viewed as similarity functions.
  • The company detects fraud using social data connections and machine learning algorithms.
  • Submodular Functions have also successfully been used for summarizing machine learning datasets.
  • The goal being to study how quantum computing might advance machine learning.
  • These were the first papers to be written on probabilistic Machine Learning.
  • KMWorld writes about " PoolParty Introduces Machine Learning Capabilities to its Platform"
  • The book also addresses the ethical issues of machine learning and automation.
  • He is one of the founders of the field of machine learning.
  • It is available as a package for the WEKA machine learning toolkit.
  • Stanley was characterized by a machine learning based approach to obstacle detection.
  • Acsensorizing plays a significant role in big data research and machine learning.
  • One of the well known machine learning technique is Back Propagation Algorithm.
  • The platform enables data aggregation, machine learning and content recommendation services.
  • Neural networks provide better translation than industry standard statistical machine learning.
  • Many different classes of machine learning algorithms have been applied to NLP tasks.
  • Automatic data summarization is part of machine learning and data mining.
  • Many modern machine learning methods are based on objectivist Bayesian principles.
  • In typical machine learning algorithms, these functions produce a scalar output.
  • The error is particularly prevalent in data mining and machine learning.
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